Julio B. Clempner - Citegraph

Author Info

Name	Affiliation	Papers
JULIO B. CLEMPNER	Ctr Comp Res, Natl Polytechn Inst, Ave Juan Dios Batiz s n,Edificio CIC,Col Nueva In, Mexico City 07738, DF, Mexico	52
Collaborators	Citations	PageRank
21	91	20.11
Referers	Referees	References
53	655	448

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100655

Publications (52 rows)

Collaborators (21 rows)

Referers (53 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Computing the Nash Bargaining Solution for Multiple Players in Discrete-Time Markov Chains Games	0	0.34	2020
Finding the Strong Nash Equilibrium: Computation, Existence and Characterization for Markov Games	0	0.34	2020
Repeated Stackelberg Security Games: Learning with Incomplete State Information	1	0.35	2020
Traffic-signal control reinforcement learning approach for continuous-time Markov games.	0	0.34	2020
A nucleus for Bayesian Partially Observable Markov Games: Joint observer and mechanism design	0	0.34	2020
Continuous-time gradient-like descent algorithm for constrained convex unknown functions: Penalty method application.	0	0.34	2019
A Stackelberg security Markov game based on partial information for strategic decision making against unexpected attacks	1	0.35	2019
Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies	1	0.35	2019
Continuous-time reinforcement learning approach for portfolio management with time penalization	1	0.35	2019
Continuous-Time Mean Variance Portfolio With Transaction Costs: A Proximal Approach Involving Time Penalization	0	0.34	2019
Solving traffic queues at controlled-signalized intersections in continuous-time Markov games.	0	0.34	2019
Observer and control design in partially observable finite Markov chains.	0	0.34	2019
DC Motor Control based on Robust run-time Optimization Algorithm	0	0.34	2019
A team formation method based on a Markov chains games approach.	0	0.34	2019
Robust Extremum Seeking For A Second Order Uncertain Plant Using A Sliding Mode Controller	0	0.34	2019
Using The Manhattan Distance For Computing The Multiobjective Markov Chains Problem	0	0.34	2018
On Lyapunov Game Theory Equilibrium: Static And Dynamic Approaches	0	0.34	2018
Computing multiobjective Markov chains handled by the extraproximal method.	1	0.38	2018
A Tikhonov regularized penalty function approach for solving polylinear programming problems.	2	0.37	2018
Continuous-Time Extremum Seeking with Function Measurements Disturbed by Stochastic Noise: A Synchronous Detection Approach	2	0.39	2018
Measuring the emotional state among interacting agents: A game theory approach using reinforcement learning.	1	0.37	2018
Solving Stackelberg security Markov games employing the bargaining Nash approach: Convergence analysis.	1	0.35	2018
Constrained Extremum Seeking with Function Measurements Disturbed by Stochastic Noise	2	0.39	2018
A Reinforcement Learning Approach For Solving The Mean Variance Customer Portfolio In Partially Observable Models	0	0.34	2018
A Continuous-Time Markov Stackelberg Security Game Approach For Reasoning About Real Patrol Strategies	4	0.41	2018
Strategic Manipulation Approach for Solving Negotiated Transfer Pricing Problem.	2	0.38	2018
Adapting attackers and defenders patrolling strategies: A reinforcement learning approach for Stackelberg security games.	3	0.38	2018
Classical workflow nets and workflow nets with reset arcs: using Lyapunov stability for soundness verification.	0	0.34	2017
Fast Terminal Sliding-Mode Control With an Integral Filter Applied to a Van Der Pol Oscillator.	2	0.38	2017
Multiobjective Markov chains optimization problem with strong Pareto frontier: Principles of decision making.	3	0.40	2017
Using the extraproximal method for computing the shortest-path mixed Lyapunov equilibrium in Stackelberg security games.	6	0.53	2017
A Game Theory Model for Manipulation Based on Machiavellianism: Moral and Ethical Behavior.	3	0.46	2017
An iterative method for solving stackelberg security games: A Markov games approach	1	0.35	2017
Negotiating transfer pricing using the Nash bargaining solution	3	0.45	2017
Conforming coalitions in Markov Stackelberg security games: Setting max cooperative defenders vs. non-cooperative attackers.	0	0.34	2016
Adapting Strategies To Dynamic Environments In Controllable Stackelberg Security Games	0	0.34	2016
An optimal strong equilibrium solution for cooperative multi-leader-follower Stackelberg Markov chains games.	3	0.41	2016
Necessary and sufficient Karush-Kuhn-Tucker conditions for multiobjective Markov chains optimality.	5	0.50	2016
Modeling Multileader–Follower Noncooperative Stackelberg Games	3	0.43	2016
Convergence analysis for pure stationary strategies in repeated potential games: Nash, Lyapunov and correlated equilibria	1	0.35	2016
Solving the Pareto front for multiobjective Markov chains using the minimum Euclidean distance gradient-based optimization method	6	0.51	2016
Solving the mean-variance customer portfolio in Markov chains using iterated quadratic/Lagrange programming: A credit-card customer limits approach.	0	0.34	2015
A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean–variance customer portfolio: The case of bank marketing campaigns	1	0.35	2015
Solving the multi-traffic signal-control problem for a class of continuous-time markov games	0	0.34	2015
Computing The Stackelberg/Nash Equilibria Using The Extraproximal Method: Convergence Analysis And Implementation Details For Markov Chains Games	14	0.76	2015
A Stackelberg security game with random strategies based on the extraproximal theoretic approach.	9	0.68	2015
Setting Cournot Versus Lyapunov Games Stability Conditions And Equilibrium Point Properties	2	0.41	2015
Computing the Lp-strong nash equilibrium looking for cooperative stability in multiple agents markov games	0	0.34	2015
Stackelberg security games: Computing the shortest-path equilibrium.	5	0.46	2015
Computing The Strong Nash Equilibrium For Markov Chains Games	2	0.41	2015

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